Alternatives and similar repositories for 3d-psrnet:

Users that are interested in 3d-psrnet are comparing it to the libraries listed below

• val-iisc / 3d-lmnet
  Repository for 3D-LMNet: Latent Embedding Matching for Accurate and Diverse 3D Point Cloud Reconstruction from a Single Image [BMVC 2018]
  ☆114Updated 6 years ago
• val-iisc / densepcr
  Repository for 'Dense 3D Point Cloud Reconstruction Using a Deep Pyramid Network' [WACV 2019]
  ☆51Updated 6 years ago
• zhijieW94 / SAGNet
  Structure-aware Generative Network for 3D-Shape Modeling (SIGGRAPH 2019)
  ☆42Updated 5 years ago
• theodeprelle / AtlasNetV2
  This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.
  ☆138Updated last year
• ThibaultGROUEIX / CycleConsistentDeformation
  This repository contains the source codes for the paper "Unsupervised cycle-consistent deformation for shape matching".
  ☆62Updated 4 years ago
• shubhtuls / mvcSnP
  Code release for "Multi-view Consistency as Supervisory Signal for Learning Shape and Pose Prediction"
  ☆117Updated 6 years ago
• laughtervv / 3DN
  3DN: 3D Deformation Network, CVPR 2019
  ☆103Updated 5 years ago
• FENGGENYU / CVPR2019_PartNet
  Code for PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
  ☆113Updated last year
• kalo-ai / ShapePFCN
  Shape Projective Fully Convolutional Network
  ☆85Updated 4 months ago
• justanhduc / graphx-conv
  Official implementation of GraphX-Convolution
  ☆62Updated 4 years ago
• daerduoCarey / partnet_seg_exps
  PartNet Shape Segmentation Experiments Code Repo
  ☆73Updated 4 years ago
• eldar / differentiable-point-clouds
  The reference implementation of "Unsupervised Learning of Shape and Pose with Differentiable Point Clouds"
  ☆157Updated 6 years ago
• nitika-verma / FeaStNet
  FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
  ☆58Updated 6 years ago
• davidstutz / cvpr2018-shape-completion
  CVPR 2018 paper "Learning 3D Shape Completion from Laser Scan Data with Weak Supervision".
  ☆62Updated 6 years ago
• kevin-kaixu / grass_pytorch
  PyTorch Implementation of GRASS
  ☆91Updated 4 years ago
• czq142857 / BAE-NET
  The code for paper "BAE-NET: Branched Autoencoder for Shape Co-Segmentation".
  ☆68Updated 4 years ago
• val-iisc / capnet
  Code release for "CAPNet: Continuous Approximation Projection For 3D Point Cloud Reconstruction Using 2D Supervision", (AAAI-19)
  ☆21Updated 5 years ago
• wkentaro / pascal3d
  Toolkit for PASCAL3D dataset.
  ☆33Updated 7 years ago
• erictuanle / GoingDeeperwPointNetworks
  This project releases the code for the Paper "Going Deeper with Point Networks"
  ☆59Updated 5 years ago
• paschalidoud / superquadric_parsing
  Code for "Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids", CVPR 2019
  ☆141Updated 8 months ago
• mhsung / deep-functional-dictionaries
  ☆40Updated 6 years ago
• lorenmt / vsl
  The implementation of "Learning a Hierarchical Latent-Variable Model of 3D Shapes" [3DV 2018].
  ☆36Updated 3 years ago
• adrienPoulenard / SPHnet
  Tensorflow/Keras code for the article (Effective Rotation-invariant Point CNN with Spherical Harmonics kernels) :
  ☆33Updated 4 years ago
• YanWei123 / Pytorch-implementation-of-FoldingNet-encoder-and-decoder-with-graph-pooling-covariance-add-quanti
  ☆20Updated 6 years ago
• diegovalsesia / GraphCNN-GAN
  Graph-convolutional GAN for point cloud generation. Code from ICLR 2019 paper Learning Localized Generative Models for 3D Point Clouds vi…
  ☆58Updated 4 years ago
• qq456cvb / PRIN
  Pointwise Rotation-Invariant Network (AAAI 2020)
  ☆87Updated 4 years ago
• ericyi / GSPN
  GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
  ☆92Updated 5 years ago
• stevenygd / 3d-recon
  Implementation for paper "Learning Single-View 3D Reconstruction with Limited Pose Supervision".
  ☆62Updated last year
• xyf513 / SpiderCNN
  SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
  ☆72Updated 6 years ago
• tiangeluo / Learning-to-Group
  A zero-shot segmentation framework for 3D shapes.
  ☆38Updated last year